Overview

Dataset statistics

Number of variables17
Number of observations31696
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory129.0 B

Variable types

Numeric13
Categorical2
Unsupported2

Alerts

date has a high cardinality: 3962 distinct values High cardinality
close is highly correlated with close_30_sma and 1 other fieldsHigh correlation
macd is highly correlated with rsi_30 and 3 other fieldsHigh correlation
rsi_30 is highly correlated with macd and 3 other fieldsHigh correlation
cci_30 is highly correlated with macd and 2 other fieldsHigh correlation
close_30_sma is highly correlated with close and 1 other fieldsHigh correlation
close_60_sma is highly correlated with close and 1 other fieldsHigh correlation
close_30_sma_delta is highly correlated with macd and 3 other fieldsHigh correlation
close_60_sma_delta is highly correlated with macd and 2 other fieldsHigh correlation
close is highly correlated with close_30_sma and 1 other fieldsHigh correlation
rsi_30 is highly correlated with cci_30High correlation
cci_30 is highly correlated with rsi_30 and 1 other fieldsHigh correlation
close_30_sma is highly correlated with close and 1 other fieldsHigh correlation
close_60_sma is highly correlated with close and 1 other fieldsHigh correlation
close_30_sma_delta is highly correlated with cci_30 and 1 other fieldsHigh correlation
close_60_sma_delta is highly correlated with close_30_sma_deltaHigh correlation
close is highly correlated with close_30_sma and 1 other fieldsHigh correlation
macd is highly correlated with rsi_30 and 2 other fieldsHigh correlation
rsi_30 is highly correlated with macd and 3 other fieldsHigh correlation
cci_30 is highly correlated with rsi_30High correlation
close_30_sma is highly correlated with close and 1 other fieldsHigh correlation
close_60_sma is highly correlated with close and 1 other fieldsHigh correlation
close_30_sma_delta is highly correlated with macd and 2 other fieldsHigh correlation
close_60_sma_delta is highly correlated with macd and 2 other fieldsHigh correlation
df_index is highly correlated with close and 2 other fieldsHigh correlation
close is highly correlated with df_index and 4 other fieldsHigh correlation
volume is highly correlated with tic and 3 other fieldsHigh correlation
tic is highly correlated with close and 4 other fieldsHigh correlation
macd is highly correlated with close and 2 other fieldsHigh correlation
rsi_30 is highly correlated with tic and 4 other fieldsHigh correlation
cci_30 is highly correlated with rsi_30 and 1 other fieldsHigh correlation
dx_30 is highly correlated with rsi_30High correlation
close_30_sma is highly correlated with df_index and 4 other fieldsHigh correlation
close_60_sma is highly correlated with df_index and 4 other fieldsHigh correlation
close_delta is highly correlated with volume and 2 other fieldsHigh correlation
close_30_sma_delta is highly correlated with volume and 4 other fieldsHigh correlation
close_60_sma_delta is highly correlated with volume and 3 other fieldsHigh correlation
df_index is uniformly distributed Uniform
date is uniformly distributed Uniform
tic is uniformly distributed Uniform
df_index has unique values Unique
cov_list is an unsupported type, check if it needs cleaning or further analysis Unsupported
return_list is an unsupported type, check if it needs cleaning or further analysis Unsupported
volume has 19792 (62.4%) zeros Zeros
macd has 3962 (12.5%) zeros Zeros
close_delta has 8023 (25.3%) zeros Zeros
close_30_sma_delta has 3970 (12.5%) zeros Zeros
close_60_sma_delta has 3968 (12.5%) zeros Zeros

Reproduction

Analysis started2021-12-10 03:33:20.803242
Analysis finished2021-12-10 03:44:35.736117
Duration11 minutes and 14.93 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct31696
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15855.5
Minimum8
Maximum31703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:35.881390image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile1592.75
Q17931.75
median15855.5
Q323779.25
95-th percentile30118.25
Maximum31703
Range31695
Interquartile range (IQR)15847.5

Descriptive statistics

Standard deviation9149.991403
Coefficient of variation (CV)0.5770862731
Kurtosis-1.2
Mean15855.5
Median Absolute Deviation (MAD)7924
Skewness0
Sum502555928
Variance83722342.67
MonotonicityStrictly increasing
2021-12-10T11:44:35.928882image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81
 
< 0.1%
211491
 
< 0.1%
211471
 
< 0.1%
211461
 
< 0.1%
211451
 
< 0.1%
211441
 
< 0.1%
211431
 
< 0.1%
211421
 
< 0.1%
211411
 
< 0.1%
211401
 
< 0.1%
Other values (31686)31686
> 99.9%
ValueCountFrequency (%)
81
< 0.1%
91
< 0.1%
101
< 0.1%
111
< 0.1%
121
< 0.1%
131
< 0.1%
141
< 0.1%
151
< 0.1%
161
< 0.1%
171
< 0.1%
ValueCountFrequency (%)
317031
< 0.1%
317021
< 0.1%
317011
< 0.1%
317001
< 0.1%
316991
< 0.1%
316981
< 0.1%
316971
< 0.1%
316961
< 0.1%
316951
< 0.1%
316941
< 0.1%

date
Categorical

HIGH CARDINALITY
UNIFORM

Distinct3962
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size247.8 KiB
2005-12-02
 
8
2016-05-19
 
8
2016-05-23
 
8
2016-05-24
 
8
2016-05-25
 
8
Other values (3957)
31656 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2005-12-02
2nd row2005-12-02
3rd row2005-12-02
4th row2005-12-02
5th row2005-12-02

Common Values

ValueCountFrequency (%)
2005-12-028
 
< 0.1%
2016-05-198
 
< 0.1%
2016-05-238
 
< 0.1%
2016-05-248
 
< 0.1%
2016-05-258
 
< 0.1%
2016-05-268
 
< 0.1%
2016-05-278
 
< 0.1%
2016-05-318
 
< 0.1%
2016-06-018
 
< 0.1%
2016-06-028
 
< 0.1%
Other values (3952)31616
99.7%

Length

2021-12-10T11:44:35.978326image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2005-12-028
 
< 0.1%
2006-01-208
 
< 0.1%
2006-03-038
 
< 0.1%
2006-01-178
 
< 0.1%
2005-12-068
 
< 0.1%
2005-12-078
 
< 0.1%
2005-12-088
 
< 0.1%
2005-12-098
 
< 0.1%
2005-12-128
 
< 0.1%
2005-12-138
 
< 0.1%
Other values (3952)31616
99.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

month
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.488137304
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.012463image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.421042959
Coefficient of variation (CV)0.5272765971
Kurtosis-1.186222868
Mean6.488137304
Median Absolute Deviation (MAD)3
Skewness0.01522792219
Sum205648
Variance11.70353493
MonotonicityNot monotonic
2021-12-10T11:44:36.047111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
82832
8.9%
32800
8.8%
62744
8.7%
72712
8.6%
52704
8.5%
122680
8.5%
102656
8.4%
42648
8.4%
12584
8.2%
22456
7.7%
Other values (2)4880
15.4%
ValueCountFrequency (%)
12584
8.2%
22456
7.7%
32800
8.8%
42648
8.4%
52704
8.5%
62744
8.7%
72712
8.6%
82832
8.9%
92432
7.7%
102656
8.4%
ValueCountFrequency (%)
122680
8.5%
112448
7.7%
102656
8.4%
92432
7.7%
82832
8.9%
72712
8.6%
62744
8.7%
52704
8.5%
42648
8.4%
32800
8.8%

close
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct21432
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean570.0397002
Minimum1
Maximum9445.240234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.092295image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q154.92406654
median99.82358932
Q3220.8040366
95-th percentile3768.869934
Maximum9445.240234
Range9444.240234
Interquartile range (IQR)165.87997

Descriptive statistics

Standard deviation1331.469887
Coefficient of variation (CV)2.335749398
Kurtosis12.78331279
Mean570.0397002
Median Absolute Deviation (MAD)71.43896485
Skewness3.470978314
Sum18067978.34
Variance1772812.059
MonotonicityNot monotonic
2021-12-10T11:44:36.139600image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13962
 
12.5%
212.178939523
 
0.1%
208.325968323
 
0.1%
173.245400423
 
0.1%
113.679382923
 
0.1%
228.643588923
 
0.1%
170.112440223
 
0.1%
110.433430923
 
0.1%
190.812095523
 
0.1%
197.269851223
 
0.1%
Other values (21422)27527
86.8%
ValueCountFrequency (%)
13962
12.5%
14.084277151
 
< 0.1%
14.886453631
 
< 0.1%
15.171837811
 
< 0.1%
15.287532811
 
< 0.1%
15.596625331
 
< 0.1%
15.815629011
 
< 0.1%
15.997142791
 
< 0.1%
16.112844471
 
< 0.1%
16.183258061
 
< 0.1%
ValueCountFrequency (%)
9445.2402341
< 0.1%
9433.5800781
< 0.1%
9404.1503911
< 0.1%
93761
< 0.1%
9355.1103521
< 0.1%
9341.0898441
< 0.1%
9337.1796881
< 0.1%
9321.7402341
< 0.1%
9312.5097661
< 0.1%
9297.2001951
< 0.1%

volume
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct11075
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7799059.607
Minimum0
Maximum248682100
Zeros19792
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.188099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31148650
95-th percentile60019275
Maximum248682100
Range248682100
Interquartile range (IQR)1148650

Descriptive statistics

Standard deviation21858966.05
Coefficient of variation (CV)2.802769455
Kurtosis15.33173034
Mean7799059.607
Median Absolute Deviation (MAD)0
Skewness3.580479718
Sum2.471989933 × 1011
Variance4.778143966 × 1014
MonotonicityNot monotonic
2021-12-10T11:44:36.238376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019792
62.4%
5315006
 
< 0.1%
2679005
 
< 0.1%
4355004
 
< 0.1%
2016004
 
< 0.1%
8377004
 
< 0.1%
5135004
 
< 0.1%
7319004
 
< 0.1%
5234003
 
< 0.1%
1272003
 
< 0.1%
Other values (11065)11867
37.4%
ValueCountFrequency (%)
019792
62.4%
412001
 
< 0.1%
533001
 
< 0.1%
581001
 
< 0.1%
596001
 
< 0.1%
620001
 
< 0.1%
660002
 
< 0.1%
661001
 
< 0.1%
662001
 
< 0.1%
672001
 
< 0.1%
ValueCountFrequency (%)
2486821001
< 0.1%
2445922001
< 0.1%
2412291001
< 0.1%
2250631001
< 0.1%
2224742001
< 0.1%
2192834001
< 0.1%
2188023001
< 0.1%
2064909001
< 0.1%
2040462001
< 0.1%
2011912001
< 0.1%

tic
Categorical

HIGH CORRELATION
UNIFORM

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size247.8 KiB
AGG
3962 
COM
3962 
CSH
3962 
EEM
3962 
GLD
3962 
Other values (3)
11886 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAGG
2nd rowCOM
3rd rowCSH
4th rowEEM
5th rowGLD

Common Values

ValueCountFrequency (%)
AGG3962
12.5%
COM3962
12.5%
CSH3962
12.5%
EEM3962
12.5%
GLD3962
12.5%
IEF3962
12.5%
LOV3962
12.5%
SNP3962
12.5%

Length

2021-12-10T11:44:36.282919image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-12-10T11:44:36.309698image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
ValueCountFrequency (%)
agg3962
12.5%
com3962
12.5%
csh3962
12.5%
eem3962
12.5%
gld3962
12.5%
ief3962
12.5%
lov3962
12.5%
snp3962
12.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

macd
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct27735
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.762768987
Minimum-478.6136378
Maximum189.2795377
Zeros3962
Zeros (%)12.5%
Negative11169
Negative (%)35.2%
Memory size247.8 KiB
2021-12-10T11:44:36.350870image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-478.6136378
5-th percentile-4.360283701
Q1-0.2238498352
median0.03528566205
Q30.5661108002
95-th percentile22.00056947
Maximum189.2795377
Range667.8931755
Interquartile range (IQR)0.7899606354

Descriptive statistics

Standard deviation16.6181376
Coefficient of variation (CV)9.427291793
Kurtosis172.1219468
Mean1.762768987
Median Absolute Deviation (MAD)0.3828644313
Skewness-5.128905392
Sum55872.72581
Variance276.1624974
MonotonicityNot monotonic
2021-12-10T11:44:36.397314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03962
 
12.5%
0.012058250361
 
< 0.1%
21.090060381
 
< 0.1%
-3.0041740271
 
< 0.1%
0.065021737611
 
< 0.1%
1.1100348641
 
< 0.1%
0.11776720561
 
< 0.1%
22.075884681
 
< 0.1%
0.18902127981
 
< 0.1%
0.034826059031
 
< 0.1%
Other values (27725)27725
87.5%
ValueCountFrequency (%)
-478.61363781
< 0.1%
-458.95161031
< 0.1%
-453.13917441
< 0.1%
-433.72576361
< 0.1%
-428.04252821
< 0.1%
-411.37353961
< 0.1%
-383.87979571
< 0.1%
-381.73676911
< 0.1%
-365.54751341
< 0.1%
-354.85645781
< 0.1%
ValueCountFrequency (%)
189.27953771
< 0.1%
188.75200271
< 0.1%
181.7848191
< 0.1%
165.04206451
< 0.1%
156.89375621
< 0.1%
151.43413791
< 0.1%
149.29690091
< 0.1%
145.94248061
< 0.1%
145.3800741
< 0.1%
144.03646841
< 0.1%

rsi_30
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct23849
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.83149672
Minimum0.004555079696
Maximum99.99326823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.448579image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.004555079696
5-th percentile27.78846947
Q145.72360925
median52.54825977
Q358.72579415
95-th percentile72.24462455
Maximum99.99326823
Range99.98871315
Interquartile range (IQR)13.0021849

Descriptive statistics

Standard deviation15.05281241
Coefficient of variation (CV)0.2904182468
Kurtosis3.365766184
Mean51.83149672
Median Absolute Deviation (MAD)6.507501236
Skewness-0.3232356918
Sum1642851.12
Variance226.5871613
MonotonicityNot monotonic
2021-12-10T11:44:36.496435image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.96242317823
 
0.1%
99.6147722823
 
0.1%
96.4933075623
 
0.1%
73.562406123
 
0.1%
86.0548454223
 
0.1%
0.00626789480523
 
0.1%
93.3153527123
 
0.1%
0.682590829823
 
0.1%
97.566159523
 
0.1%
3.86051103722
 
0.1%
Other values (23839)31467
99.3%
ValueCountFrequency (%)
0.00455507969619
0.1%
0.00626789480523
0.1%
0.00920124740421
0.1%
0.0261295521421
0.1%
0.0462500905720
0.1%
0.0485360500322
0.1%
0.0618737261121
0.1%
0.135096093222
0.1%
0.325418617622
0.1%
0.482367890519
0.1%
ValueCountFrequency (%)
99.9932682320
0.1%
99.9872824920
0.1%
99.9660699521
0.1%
99.8621482420
0.1%
99.778592821
0.1%
99.6147722823
0.1%
99.5101666521
0.1%
99.2885512921
0.1%
99.1769159420
0.1%
98.9957100221
0.1%

cci_30
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct27726
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.54895059
Minimum-1000
Maximum1000
Zeros0
Zeros (%)0.0%
Negative14177
Negative (%)44.7%
Memory size247.8 KiB
2021-12-10T11:44:36.545365image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-1000
5-th percentile-173.3058835
Q1-74.28173983
median23.76058095
Q399.00660787
95-th percentile173.5173596
Maximum1000
Range2000
Interquartile range (IQR)173.2883477

Descriptive statistics

Standard deviation115.5402477
Coefficient of variation (CV)10.00439362
Kurtosis2.098145587
Mean11.54895059
Median Absolute Deviation (MAD)85.6455441
Skewness-0.2041134584
Sum366055.538
Variance13349.54883
MonotonicityNot monotonic
2021-12-10T11:44:36.592955image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8865887522
 
< 0.1%
-107.53133652
 
< 0.1%
-58.321170842
 
< 0.1%
-99.103899532
 
< 0.1%
-127.01918852
 
< 0.1%
-127.74529922
 
< 0.1%
-19.855397872
 
< 0.1%
-103.45460272
 
< 0.1%
-104.00168552
 
< 0.1%
-105.06370292
 
< 0.1%
Other values (27716)31676
99.9%
ValueCountFrequency (%)
-10001
< 0.1%
-10001
< 0.1%
-10001
< 0.1%
-995.13514081
< 0.1%
-789.93330461
< 0.1%
-779.75365471
< 0.1%
-762.75250021
< 0.1%
-741.59047361
< 0.1%
-734.26218161
< 0.1%
-663.86092411
< 0.1%
ValueCountFrequency (%)
10001
< 0.1%
10001
< 0.1%
10001
< 0.1%
10001
< 0.1%
893.5359431
< 0.1%
882.43508861
< 0.1%
867.18753061
< 0.1%
803.93807191
< 0.1%
752.62056591
< 0.1%
703.47317341
< 0.1%

dx_30
Real number (ℝ≥0)

HIGH CORRELATION

Distinct19393
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.19162565
Minimum5.325958909 × 10-5
Maximum89.96696122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.644077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum5.325958909 × 10-5
5-th percentile1.808067204
Q18.930354932
median18.52537409
Q330.69069913
95-th percentile49.83993634
Maximum89.96696122
Range89.96690796
Interquartile range (IQR)21.7603442

Descriptive statistics

Standard deviation15.19432811
Coefficient of variation (CV)0.7169968155
Kurtosis0.284451875
Mean21.19162565
Median Absolute Deviation (MAD)10.60100692
Skewness0.8166322113
Sum671689.7667
Variance230.8676067
MonotonicityNot monotonic
2021-12-10T11:44:36.691129image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.785448788
 
< 0.1%
15.654124296
 
< 0.1%
35.985183546
 
< 0.1%
17.861713876
 
< 0.1%
19.421149096
 
< 0.1%
45.136120386
 
< 0.1%
32.344906814
 
< 0.1%
31.798510534
 
< 0.1%
18.868208594
 
< 0.1%
28.25369754
 
< 0.1%
Other values (19383)31642
99.8%
ValueCountFrequency (%)
5.325958909 × 10-51
< 0.1%
0.00091090329791
< 0.1%
0.0017662934812
< 0.1%
0.0033418331661
< 0.1%
0.0046502016742
< 0.1%
0.0057976207422
< 0.1%
0.0058529667322
< 0.1%
0.0060337865672
< 0.1%
0.0063978916922
< 0.1%
0.0069018639552
< 0.1%
ValueCountFrequency (%)
89.966961221
< 0.1%
86.515635642
< 0.1%
86.454578161
< 0.1%
86.067214262
< 0.1%
84.548216082
< 0.1%
82.945558881
< 0.1%
82.875200491
< 0.1%
82.770882382
< 0.1%
82.666510421
< 0.1%
82.430522692
< 0.1%

close_30_sma
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct27721
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean566.3582668
Minimum1
Maximum9250.471322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.842403image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q154.92296206
median99.72988269
Q3219.8466414
95-th percentile3739.22191
Maximum9250.471322
Range9249.471322
Interquartile range (IQR)164.9236794

Descriptive statistics

Standard deviation1318.245352
Coefficient of variation (CV)2.327582078
Kurtosis12.53018665
Mean566.3582668
Median Absolute Deviation (MAD)71.35650053
Skewness3.445735828
Sum17951291.63
Variance1737770.807
MonotonicityNot monotonic
2021-12-10T11:44:36.888453image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13962
 
12.5%
84.642333482
 
< 0.1%
169.78566642
 
< 0.1%
38.525077822
 
< 0.1%
79.880000052
 
< 0.1%
603.97833332
 
< 0.1%
324.6082
 
< 0.1%
43.655501432
 
< 0.1%
129.66699912
 
< 0.1%
132.21099882
 
< 0.1%
Other values (27711)27716
87.4%
ValueCountFrequency (%)
13962
12.5%
17.424085681
 
< 0.1%
17.429741731
 
< 0.1%
17.435398481
 
< 0.1%
17.476020941
 
< 0.1%
17.500966261
 
< 0.1%
17.515045551
 
< 0.1%
17.522085061
 
< 0.1%
17.534078471
 
< 0.1%
17.535382141
 
< 0.1%
ValueCountFrequency (%)
9250.4713221
< 0.1%
9236.0776371
< 0.1%
9216.8053061
< 0.1%
9203.6632811
< 0.1%
9195.5496091
< 0.1%
9186.6112631
< 0.1%
9177.9792641
< 0.1%
9170.8835941
< 0.1%
9165.401271
< 0.1%
9159.0409181
< 0.1%

close_60_sma
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct27725
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean562.6171926
Minimum1
Maximum9087.068766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size247.8 KiB
2021-12-10T11:44:36.938092image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q154.79364471
median99.64076811
Q3219.2524101
95-th percentile3732.500078
Maximum9087.068766
Range9086.068766
Interquartile range (IQR)164.4587654

Descriptive statistics

Standard deviation1305.038811
Coefficient of variation (CV)2.31958573
Kurtosis12.28189781
Mean562.6171926
Median Absolute Deviation (MAD)71.46902866
Skewness3.421063788
Sum17832714.54
Variance1703126.299
MonotonicityNot monotonic
2021-12-10T11:44:36.989564image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13962
 
12.5%
319.4272
 
< 0.1%
44.756921262
 
< 0.1%
53.473356562
 
< 0.1%
81.202999622
 
< 0.1%
384.83466672
 
< 0.1%
136.16716742
 
< 0.1%
37.499761262
 
< 0.1%
84.340499882
 
< 0.1%
167.19150112
 
< 0.1%
Other values (27715)27716
87.4%
ValueCountFrequency (%)
13962
12.5%
18.123188691
 
< 0.1%
18.126447711
 
< 0.1%
18.137617331
 
< 0.1%
18.145544271
 
< 0.1%
18.151346941
 
< 0.1%
18.166729771
 
< 0.1%
18.167316631
 
< 0.1%
18.188109331
 
< 0.1%
18.192672031
 
< 0.1%
ValueCountFrequency (%)
9087.0687661
< 0.1%
9076.313771
< 0.1%
9065.4777671
< 0.1%
9054.0414231
< 0.1%
9044.4840821
< 0.1%
9033.7964191
< 0.1%
9023.5240721
< 0.1%
9013.3554041
< 0.1%
9004.3342451
< 0.1%
8996.2929041
< 0.1%

cov_list
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size247.8 KiB

return_list
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size247.8 KiB

close_delta
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct23645
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001642678635
Minimum-0.1763339494
Maximum0.205141233
Zeros8023
Zeros (%)25.3%
Negative11066
Negative (%)34.9%
Memory size247.8 KiB
2021-12-10T11:44:37.040262image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.1763339494
5-th percentile-0.01387741017
Q1-0.001826896257
median0
Q30.002561911163
95-th percentile0.01374195042
Maximum0.205141233
Range0.3814751825
Interquartile range (IQR)0.00438880742

Descriptive statistics

Standard deviation0.01006872973
Coefficient of variation (CV)61.29458021
Kurtosis36.68069104
Mean0.0001642678635
Median Absolute Deviation (MAD)0.002193239744
Skewness0.04386948179
Sum5.2066342
Variance0.0001013793185
MonotonicityNot monotonic
2021-12-10T11:44:37.088352image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08023
 
25.3%
-0.00075153314842
 
< 0.1%
-0.00018154242872
 
< 0.1%
0.0040929677012
 
< 0.1%
0.010001221142
 
< 0.1%
0.0020443898042
 
< 0.1%
0.0057542035212
 
< 0.1%
-0.00093183542472
 
< 0.1%
0.00072258649492
 
< 0.1%
0.0043485241422
 
< 0.1%
Other values (23635)23655
74.6%
ValueCountFrequency (%)
-0.17633394941
< 0.1%
-0.1361322831
< 0.1%
-0.13329428491
< 0.1%
-0.12760456971
< 0.1%
-0.12419486671
< 0.1%
-0.11125038741
< 0.1%
-0.10888628941
< 0.1%
-0.10547909151
< 0.1%
-0.10125390151
< 0.1%
-0.10094037721
< 0.1%
ValueCountFrequency (%)
0.2051412331
< 0.1%
0.19006304591
< 0.1%
0.18408904021
< 0.1%
0.13455766721
< 0.1%
0.12970296531
< 0.1%
0.12659367051
< 0.1%
0.11736076671
< 0.1%
0.10958183051
< 0.1%
0.10245531461
< 0.1%
0.095122650121
< 0.1%

close_30_sma_delta
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct27727
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001682629109
Minimum-0.01863422071
Maximum0.01284527256
Zeros3970
Zeros (%)12.5%
Negative11370
Negative (%)35.9%
Memory size247.8 KiB
2021-12-10T11:44:37.139857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.01863422071
5-th percentile-0.002249121152
Q1-0.0003180675325
median4.142513037 × 10-5
Q30.0007780386125
95-th percentile0.002679058769
Maximum0.01284527256
Range0.03147949328
Interquartile range (IQR)0.001096106145

Descriptive statistics

Standard deviation0.001627119008
Coefficient of variation (CV)9.670099011
Kurtosis11.36280705
Mean0.0001682629109
Median Absolute Deviation (MAD)0.0005429325531
Skewness-1.132764488
Sum5.333261224
Variance2.647516267 × 10-6
MonotonicityNot monotonic
2021-12-10T11:44:37.186957image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03970
 
12.5%
-0.00011840269381
 
< 0.1%
0.0001494207851
 
< 0.1%
1.987238869 × 10-51
 
< 0.1%
-0.00030140596361
 
< 0.1%
0.0019927219371
 
< 0.1%
0.00031712677381
 
< 0.1%
0.0002254962131
 
< 0.1%
0.0001867864451
 
< 0.1%
0.00051095683381
 
< 0.1%
Other values (27717)27717
87.4%
ValueCountFrequency (%)
-0.018634220711
< 0.1%
-0.017894137471
< 0.1%
-0.017215661511
< 0.1%
-0.016297395321
< 0.1%
-0.015636179981
< 0.1%
-0.01553834731
< 0.1%
-0.015525598111
< 0.1%
-0.015395425491
< 0.1%
-0.014535102311
< 0.1%
-0.014379841221
< 0.1%
ValueCountFrequency (%)
0.012845272561
< 0.1%
0.010586401441
< 0.1%
0.010535231711
< 0.1%
0.01014968531
< 0.1%
0.0098225387361
< 0.1%
0.0097381032011
< 0.1%
0.0097269941981
< 0.1%
0.0096332905061
< 0.1%
0.0095413749651
< 0.1%
0.0094848792961
< 0.1%

close_60_sma_delta
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct27729
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001681100943
Minimum-0.0125671279
Maximum0.008362052995
Zeros3968
Zeros (%)12.5%
Negative10597
Negative (%)33.4%
Memory size247.8 KiB
2021-12-10T11:44:37.236898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.0125671279
5-th percentile-0.001508036987
Q1-0.0001993420139
median7.384878418 × 10-5
Q30.0006457460813
95-th percentile0.00193007581
Maximum0.008362052995
Range0.0209291809
Interquartile range (IQR)0.0008450880952

Descriptive statistics

Standard deviation0.001173171597
Coefficient of variation (CV)6.978591036
Kurtosis11.76598848
Mean0.0001681100943
Median Absolute Deviation (MAD)0.0004236615905
Skewness-1.354112118
Sum5.32841755
Variance1.376331597 × 10-6
MonotonicityNot monotonic
2021-12-10T11:44:37.281975image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03968
 
12.5%
-0.00023919900391
 
< 0.1%
0.0011052178731
 
< 0.1%
-0.00030077524851
 
< 0.1%
0.00088461024941
 
< 0.1%
0.0017681113611
 
< 0.1%
0.00032770025171
 
< 0.1%
0.00097120674981
 
< 0.1%
-3.035712197 × 10-61
 
< 0.1%
0.00034635452921
 
< 0.1%
Other values (27719)27719
87.5%
ValueCountFrequency (%)
-0.01256712791
< 0.1%
-0.011359228151
< 0.1%
-0.011242186251
< 0.1%
-0.011148308361
< 0.1%
-0.011007401651
< 0.1%
-0.010664673791
< 0.1%
-0.010460590881
< 0.1%
-0.010273452911
< 0.1%
-0.010135463631
< 0.1%
-0.010101996431
< 0.1%
ValueCountFrequency (%)
0.0083620529951
< 0.1%
0.0077872066061
< 0.1%
0.0076515452351
< 0.1%
0.0072778617681
< 0.1%
0.0072546942551
< 0.1%
0.0070754416391
< 0.1%
0.007037414771
< 0.1%
0.0067586636981
< 0.1%
0.0065748869521
< 0.1%
0.006572737151
< 0.1%

Interactions

2021-12-10T11:44:34.904175image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.251082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.923355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.676604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.229565image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.803126image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.497631image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.066685image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.793428image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:32.358916image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.047859image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.622876image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.319099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.951732image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.332040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.977804image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.724078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.277998image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.960261image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.546036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.118419image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.842300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:32.407613image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.101295image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.676067image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.369354image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.994828image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.384426image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.027618image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.766750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.322050image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.006613image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.591256image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.167836image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.885732image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:32.452758image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.146816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.723530image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.414854image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:35.034897image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.451725image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.074846image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:28.806410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:29.364976image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.048766image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:30.633087image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.213624image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:31.925874image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:32.493367image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.188886image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:33.766485image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:34.457354image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:35.077074image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2021-12-10T11:44:27.505030image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-12-10T11:44:37.401007image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-12-10T11:44:37.476727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-12-10T11:44:37.557930image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-12-10T11:44:35.489144image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
A simple visualization of nullity by column.
2021-12-10T11:44:35.624698image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

df_indexdatemonthclosevolumeticmacdrsi_30cci_30dx_30close_30_smaclose_60_smacov_listreturn_listclose_deltaclose_30_sma_deltaclose_60_sma_delta
082005-12-021260.696033151700.0AGG0.01205846.967462-68.91025626.93772660.69510760.938548[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.000000-0.000118-0.000239
192005-12-0212172.6999970.0COM-0.46242855.085551130.81052318.357403167.429001170.495167[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.016111-0.0001670.000395
2102005-12-02121.0000000.0CSH0.00000055.085551130.81052318.3574031.0000001.000000[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.0000000.0000000.000000
3112005-12-021221.0949027122000.0EEM0.32259859.927655134.57263731.55283420.02857319.990479[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]-0.0011590.0032230.001062
4122005-12-0212174.6000000.0GLD3.12597467.738443151.79355631.552834165.094333163.204000[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.0055130.0025720.002040
5132005-12-021255.582989343200.0IEF0.03827048.420294-22.14027718.74367755.45493755.790687[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.000844-0.000035-0.000337
6142005-12-0212105.2125520.0LOV0.67248984.37822499.17253618.743677103.096304102.436866[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.0000000.0015480.000391
7152005-12-02121910.8599850.0SNP22.82385861.614937116.18330934.8366081848.7600141835.807670[[4.443516190318833e-06, 1.9774519124737066e-07, 0.0, -5.803599581922439e-07, -1.5429081383471754e-07, 5.6602836850795625e-06, 8.367269727651789e-07, 1.0049916579112641e-07], [1.9774519124737066e-07, 0.00011261230263203964, 0.0, 1.3933736026889925e-05, 2.1705037171807105e-05, 1.1121157408651671e-06, 3.0132836825512744e-06, 6.298660318999602e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-5.803599581922439e-07, 1.3933736026889925e-05, 0.0, 0.00014778193224201312, 8.193562524751995e-06, -1.2896958321102981e-06, 4.570110829795626e-06, 5.811428049174972e-05], [-1.5429081383471754e-07, 2.1705037171807105e-05, 0.0, 8.193562524751995e-06, 5.595599484021123e-05, -5.870751512088481e-07, 3.004756929141559e-07, -1.0145834657098607e-06], [5.6602836850795625e-06, 1.1121157408651671e-06, 0.0, -1.2896958321102981e-06, -5.870751512088481e-07, 1.0443206120917182e-05, 7.026246918185634e-07, -6.837384708253667e-07], [8.367269727651789e-07, 3.0132836825512744e-06, 0.0, 4.570110829795626e-06, 3.004756929141559e-07, 7.026246918185634e-07, 1.2925457649386389e-05, 7.714864124891602e-07], [1.0049916579112641e-07, 6.298660318999602e-07, 0.0, 5.811428049174972e-05, -1.0145834657098607e-06, -6.837384708253667e-07, 7.714864124891602e-07, 4.2677738394002434e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-03 0.005801 -0.000413 0.0 0.004535 -0.012229 0.009998 0.00000 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 ... ... ... ... ... ... ... ... 2005-11-28 -0.000497 -0.005407 0.0 -0.007038 0.017235 0.004312 0.00000 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 tic SNP date 2004-12-03 0.000714 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 ... ... 2005-11-28 -0.006292 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 [252 rows x 8 columns]0.0003300.0019830.000471
8162005-12-051260.726540308600.0AGG0.00649847.530597-81.56797033.40359060.68853460.924578[[4.313365884232753e-06, 2.301302210038969e-07, 0.0, -6.440498403801806e-07, 1.4558866593012876e-07, 5.428445224640519e-06, 8.41118185307344e-07, 8.714416173446448e-08], [2.301302210038969e-07, 0.00011265188630656246, 0.0, 1.4041407832339131e-05, 2.1723503189130176e-05, 1.1167061265445353e-06, 3.0095342392872098e-06, 5.961312866558709e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-6.440498403801806e-07, 1.4041407832339131e-05, 0.0, 0.00014792774451162833, 8.519719081786313e-06, -1.505486285990452e-06, 4.567139070889482e-06, 5.8036320747881825e-05], [1.4558866593012876e-07, 2.1723503189130176e-05, 0.0, 8.519719081786313e-06, 5.544691343237031e-05, -1.56639446427476e-07, 2.8516697980484113e-07, -1.0562169768924186e-06], [5.428445224640519e-06, 1.1167061265445353e-06, 0.0, -1.505486285990452e-06, -1.56639446427476e-07, 1.0089406941069295e-05, 7.134078346183685e-07, -6.662265487438618e-07], [8.41118185307344e-07, 3.0095342392872098e-06, 0.0, 4.567139070889482e-06, 2.8516697980484113e-07, 7.134078346183685e-07, 1.2925457649386389e-05, 7.740035600417371e-07], [8.714416173446448e-08, 5.961312866558709e-07, 0.0, 5.8036320747881825e-05, -1.0562169768924186e-06, -6.662265487438618e-07, 7.740035600417371e-07, 4.270519308864318e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 2004-12-10 -0.001266 -0.011614 0.0 -0.001001 -0.007111 0.001523 0.00000 ... ... ... ... ... ... ... ... 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 2005-12-05 0.000503 0.004111 0.0 0.008121 0.006243 -0.003013 0.00000 tic SNP date 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 2004-12-10 -0.001043 ... ... 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 2005-12-05 -0.002324 [252 rows x 8 columns]0.000502-0.000108-0.000229
9172005-12-0512173.4100040.0COM0.07869855.774601186.76857230.947324167.513002170.565667[[4.313365884232753e-06, 2.301302210038969e-07, 0.0, -6.440498403801806e-07, 1.4558866593012876e-07, 5.428445224640519e-06, 8.41118185307344e-07, 8.714416173446448e-08], [2.301302210038969e-07, 0.00011265188630656246, 0.0, 1.4041407832339131e-05, 2.1723503189130176e-05, 1.1167061265445353e-06, 3.0095342392872098e-06, 5.961312866558709e-07], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-6.440498403801806e-07, 1.4041407832339131e-05, 0.0, 0.00014792774451162833, 8.519719081786313e-06, -1.505486285990452e-06, 4.567139070889482e-06, 5.8036320747881825e-05], [1.4558866593012876e-07, 2.1723503189130176e-05, 0.0, 8.519719081786313e-06, 5.544691343237031e-05, -1.56639446427476e-07, 2.8516697980484113e-07, -1.0562169768924186e-06], [5.428445224640519e-06, 1.1167061265445353e-06, 0.0, -1.505486285990452e-06, -1.56639446427476e-07, 1.0089406941069295e-05, 7.134078346183685e-07, -6.662265487438618e-07], [8.41118185307344e-07, 3.0095342392872098e-06, 0.0, 4.567139070889482e-06, 2.8516697980484113e-07, 7.134078346183685e-07, 1.2925457649386389e-05, 7.740035600417371e-07], [8.714416173446448e-08, 5.961312866558709e-07, 0.0, 5.8036320747881825e-05, -1.0562169768924186e-06, -6.662265487438618e-07, 7.740035600417371e-07, 4.270519308864318e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2004-12-06 0.001075 0.003168 0.0 -0.001420 0.009815 0.001885 0.00000 2004-12-07 0.001367 -0.019563 0.0 -0.015340 -0.002795 -0.000117 0.00000 2004-12-08 0.003414 -0.003081 0.0 -0.005262 -0.032934 0.007411 0.00000 2004-12-09 -0.001360 0.003792 0.0 -0.016284 0.000461 -0.002336 0.00000 2004-12-10 -0.001266 -0.011614 0.0 -0.001001 -0.007111 0.001523 0.00000 ... ... ... ... ... ... ... ... 2005-11-29 -0.001393 -0.002138 0.0 -0.008860 0.000000 -0.005486 0.00000 2005-11-30 -0.002091 0.018609 0.0 0.002384 -0.000696 -0.000481 0.00000 2005-12-01 -0.001413 0.021274 0.0 0.026159 0.008245 -0.002251 0.01213 2005-12-02 0.000000 0.016241 0.0 -0.001159 0.005529 0.000844 0.00000 2005-12-05 0.000503 0.004111 0.0 0.008121 0.006243 -0.003013 0.00000 tic SNP date 2004-12-06 -0.000736 2004-12-07 -0.011040 2004-12-08 0.005104 2004-12-09 0.005471 2004-12-10 -0.001043 ... ... 2005-11-29 0.000195 2005-11-30 -0.006036 2005-12-01 0.012160 2005-12-02 0.000330 2005-12-05 -0.002324 [252 rows x 8 columns]0.0041030.0005020.000413

Last rows

df_indexdatemonthclosevolumeticmacdrsi_30cci_30dx_30close_30_smaclose_60_smacov_listreturn_listclose_deltaclose_30_sma_deltaclose_60_sma_delta
31686316942021-08-3008190.5721960.0LOV-0.4263741.183841-47.6190485.268333191.236530192.239752[[4.190940544390623e-06, -1.889319021090827e-06, 0.0, 3.1568675101163445e-06, 3.297201984910692e-06, 5.710530920080854e-06, -8.163664624665114e-07, 2.4081549961235185e-06], [-1.889319021090827e-06, 7.55647203071737e-05, 0.0, 3.5875140717446895e-05, 2.8725555354324614e-05, -3.450036499678153e-06, -7.951688334291301e-07, 2.1592000483518156e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.1568675101163445e-06, 3.5875140717446895e-05, 0.0, 0.00013675156394327972, 1.7733281292651428e-05, 8.877376110547558e-07, -7.436043560081862e-06, 7.286356838499788e-05], [3.297201984910692e-06, 2.8725555354324614e-05, 0.0, 1.7733281292651428e-05, 9.796169144814499e-05, 4.712698890478549e-06, -1.0635433099629934e-06, 1.0560727021288145e-05], [5.710530920080854e-06, -3.450036499678153e-06, 0.0, 8.877376110547558e-07, 4.712698890478549e-06, 8.665436398581623e-06, -1.1700831353711018e-06, -5.892505872666351e-07], [-8.163664624665114e-07, -7.951688334291301e-07, 0.0, -7.436043560081862e-06, -1.0635433099629934e-06, -1.1700831353711018e-06, 1.1581167950075469e-05, -4.564420068114253e-06], [2.4081549961235185e-06, 2.1592000483518156e-05, 0.0, 7.286356838499788e-05, 1.0560727021288145e-05, -5.892505872666351e-07, -4.564420068114253e-06, 8.919927478652892e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-08-31 0.002201 0.002461 0.0 -0.022173 0.000000 0.001071 0.000000 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 ... ... ... ... ... ... ... ... 2021-08-24 -0.001464 0.013313 0.0 0.022687 0.003578 -0.002722 0.000000 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 tic SNP date 2020-08-31 -0.002080 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 ... ... 2021-08-24 0.001501 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 [252 rows x 8 columns]0.000000-0.000386-0.000258
31687316952021-08-30089445.2402340.0SNP74.47275263.524018182.19640921.3566739236.0776379076.313770[[4.190940544390623e-06, -1.889319021090827e-06, 0.0, 3.1568675101163445e-06, 3.297201984910692e-06, 5.710530920080854e-06, -8.163664624665114e-07, 2.4081549961235185e-06], [-1.889319021090827e-06, 7.55647203071737e-05, 0.0, 3.5875140717446895e-05, 2.8725555354324614e-05, -3.450036499678153e-06, -7.951688334291301e-07, 2.1592000483518156e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.1568675101163445e-06, 3.5875140717446895e-05, 0.0, 0.00013675156394327972, 1.7733281292651428e-05, 8.877376110547558e-07, -7.436043560081862e-06, 7.286356838499788e-05], [3.297201984910692e-06, 2.8725555354324614e-05, 0.0, 1.7733281292651428e-05, 9.796169144814499e-05, 4.712698890478549e-06, -1.0635433099629934e-06, 1.0560727021288145e-05], [5.710530920080854e-06, -3.450036499678153e-06, 0.0, 8.877376110547558e-07, 4.712698890478549e-06, 8.665436398581623e-06, -1.1700831353711018e-06, -5.892505872666351e-07], [-8.163664624665114e-07, -7.951688334291301e-07, 0.0, -7.436043560081862e-06, -1.0635433099629934e-06, -1.1700831353711018e-06, 1.1581167950075469e-05, -4.564420068114253e-06], [2.4081549961235185e-06, 2.1592000483518156e-05, 0.0, 7.286356838499788e-05, 1.0560727021288145e-05, -5.892505872666351e-07, -4.564420068114253e-06, 8.919927478652892e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-08-31 0.002201 0.002461 0.0 -0.022173 0.000000 0.001071 0.000000 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 ... ... ... ... ... ... ... ... 2021-08-24 -0.001464 0.013313 0.0 0.022687 0.003578 -0.002722 0.000000 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 tic SNP date 2020-08-31 -0.002080 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 ... ... 2021-08-24 0.001501 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 [252 rows x 8 columns]0.0043600.0020890.001195
31688316962021-08-3108115.5296486763900.0AGG0.07436654.71217518.3599439.738954115.506626115.054341[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]-0.001464-0.0000500.000257
31689316972021-08-310895.9899980.0COM0.27256955.30005077.08832214.45906294.94066694.148000[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]-0.0019770.0009410.000324
31690316982021-08-31081.0000000.0CSH0.00000055.30005077.08832214.4590621.0000001.000000[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]0.0000000.0000000.000000
31691316992021-08-310852.41000043226700.0EEM-0.27650449.90618978.2071886.27738551.61466653.012122[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]0.013640-0.000291-0.000961
31692317002021-08-3108630.5900000.0GLD0.49696852.40247583.6135626.277385622.136000626.241500[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]0.009048-0.000153-0.000680
31693317012021-08-3108116.9260187418400.0IEF0.07688353.687621-14.8557017.496965117.068840116.272461[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]-0.001876-0.0001600.000378
31694317022021-08-3108190.5721960.0LOV-0.4001421.183841-45.4545457.496965191.162715192.190168[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]0.000000-0.000386-0.000258
31695317032021-08-31089433.5800780.0SNP77.30414062.965117167.12729521.3566739250.4713229087.068766[[4.180271969668594e-06, -1.8830269083932926e-06, 0.0, 3.2809698326374006e-06, 3.2401663578666042e-06, 5.710599247991046e-06, -8.236473784801846e-07, 2.449928020728402e-06], [-1.8830269083932926e-06, 7.559559769929171e-05, 0.0, 3.583716048623497e-05, 2.8608845190610896e-05, -3.4345134965739077e-06, -8.039845458002581e-07, 2.1638146918748728e-05], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.2809698326374006e-06, 3.583716048623497e-05, 0.0, 0.00013534379080817034, 1.8243685731557022e-05, 9.02787081510756e-07, -7.364694766628883e-06, 7.244970449846325e-05], [3.2401663578666042e-06, 2.8608845190610896e-05, 0.0, 1.8243685731557022e-05, 9.831030673491962e-05, 4.645413630873893e-06, -1.045482166005741e-06, 1.0476370250042532e-05], [5.710599247991046e-06, -3.4345134965739077e-06, 0.0, 9.02787081510756e-07, 4.645413630873893e-06, 8.672438790581485e-06, -1.1759353845632274e-06, -5.576686109449663e-07], [-8.236473784801846e-07, -8.039845458002581e-07, 0.0, -7.364694766628883e-06, -1.045482166005741e-06, -1.1759353845632274e-06, 1.1581167950075469e-05, -4.562740144378034e-06], [2.449928020728402e-06, 2.1638146918748728e-05, 0.0, 7.244970449846325e-05, 1.0476370250042532e-05, -5.576686109449663e-07, -4.562740144378034e-06, 8.918056618415586e-05]]tic AGG COM CSH EEM GLD IEF LOV \ date 2020-09-01 0.002073 0.002455 0.0 0.017063 0.007661 0.003278 -0.015208 2020-09-02 0.002027 -0.009116 0.0 -0.002649 -0.012826 0.001395 0.000000 2020-09-03 0.000253 -0.007277 0.0 -0.019035 -0.003385 0.001312 0.000000 2020-09-04 -0.004971 0.001245 0.0 0.000451 -0.007297 -0.005567 0.000000 2020-09-08 0.001101 -0.013676 0.0 -0.017366 -0.007963 0.002141 0.000000 ... ... ... ... ... ... ... ... 2021-08-25 -0.001897 0.004026 0.0 0.001168 -0.010917 -0.003924 0.000000 2021-08-26 0.000086 0.002005 0.0 -0.009524 -0.001175 0.000000 0.000000 2021-08-27 0.002764 0.014745 0.0 0.012363 0.006653 0.003254 0.000000 2021-08-30 0.001120 -0.001764 0.0 0.002132 0.000000 0.001963 0.000000 2021-08-31 -0.001463 -0.001975 0.0 0.013733 0.009089 -0.001874 0.000000 tic SNP date 2020-09-01 0.007544 2020-09-02 0.015473 2020-09-03 -0.034941 2020-09-04 -0.008134 2020-09-08 -0.027713 ... ... 2021-08-25 0.002233 2021-08-26 -0.005787 2021-08-27 0.008841 2021-08-30 0.004369 2021-08-31 -0.001235 [252 rows x 8 columns]-0.0012350.0015570.001184